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Gis & Remote Sensing For Environmental Monitoring: Map Your Environmental Insights

Introduction:

GIS and Remote Sensing for Environmental Monitoring empowers professionals to leverage geospatial technologies for comprehensive environmental analysis and data collection. This course focuses on utilizing Geographic Information Systems (GIS) and remote sensing techniques to monitor environmental changes, analyze spatial patterns, and support informed decision-making. Participants will learn how to process satellite imagery, analyze spatial data, and create insightful maps for environmental applications. This course bridges the gap between traditional environmental monitoring and the power of geospatial analysis, enabling professionals to gain deeper insights into environmental processes.

Target Audience:

This course is designed for environmental scientists, planners, researchers, and professionals involved in environmental monitoring and management, including:

  • Environmental Consultants
  • GIS Analysts
  • Remote Sensing Specialists
  • Urban Planners
  • Natural Resource Managers
  • Researchers
  • Government Officials
  • Conservationists

Course Objectives:

Upon completion of this GIS and Remote Sensing for Environmental Monitoring course, participants will be able to:

  • Understand the principles of GIS and remote sensing for environmental applications.
  • Process and analyze satellite imagery for land cover and land use mapping.
  • Utilize GIS software for spatial data analysis and visualization.
  • Implement remote sensing techniques for environmental monitoring (e.g., vegetation health, water quality).
  • Understand the role of spatial data in environmental modeling and analysis.
  • Implement strategies for data collection and management using GIS and remote sensing.
  • Understand the principles of spatial statistics and geostatistics.
  • Implement strategies for creating thematic maps and spatial reports.
  • Understand the role of GIS and remote sensing in environmental impact assessment.
  • Implement strategies for integrating GIS and remote sensing data with other environmental data.
  • Evaluate the accuracy and reliability of geospatial data.
  • Enhance their ability to utilize GIS and remote sensing for environmental monitoring.
  • Improve their organization's environmental data analysis and decision-making capabilities.
  • Contribute to the development of effective environmental monitoring and management strategies.
  • Stay up-to-date with the latest trends and best practices in GIS and remote sensing for environmental applications.
  • Become a more knowledgeable and effective geospatial environmental analyst.
  • Understand ethical considerations in geospatial data collection and analysis.
  • Learn how to use GIS and remote sensing software and tools effectively.

DURATION

10 Days

COURSE CONTENT

Module 1: Introduction to GIS and Remote Sensing for Environmental Applications

  • Overview of GIS and remote sensing principles and applications.
  • Understanding the importance of geospatial data in environmental monitoring.
  • Introduction to key concepts (spatial data, raster/vector data, spectral signatures).
  • Review of relevant software and tools.
  • Setting the stage for practical application of GIS and remote sensing.

Module 2: Fundamentals of Geographic Information Systems (GIS)

  • Understanding GIS components (hardware, software, data, people, methods).
  • Implementing spatial data models (raster and vector).
  • Utilizing GIS software for data input, editing, and management.
  • Understanding coordinate systems and map projections.
  • Analyzing spatial data structures and databases.

Module 3: Remote Sensing Principles and Data Acquisition

  • Understanding electromagnetic radiation and spectral properties.
  • Analyzing different remote sensing platforms and sensors (satellite, airborne, drone).
  • Understanding image resolution (spatial, spectral, temporal, radiometric).
  • Implementing image acquisition and data download procedures.
  • Understanding the role of atmospheric correction.

Module 4: Image Processing and Analysis Techniques

  • Implementing image preprocessing techniques (geometric correction, radiometric calibration).
  • Utilizing image enhancement and filtering methods.
  • Implementing image classification techniques (supervised, unsupervised).
  • Analyzing spectral indices (NDVI, NDWI) for environmental applications.
  • Understanding the concept of change detection.

Module 5: Land Cover and Land Use Mapping

  • Implementing remote sensing techniques for land cover and land use mapping.
  • Utilizing classification algorithms for land cover change analysis.
  • Analyzing the impacts of land use change on environmental processes.
  • Understanding the role of accuracy assessment in land cover mapping.
  • Understanding the importance of classification schema.

Module 6: Environmental Monitoring Applications of Remote Sensing

  • Implementing remote sensing for vegetation health monitoring (e.g., forest health, crop monitoring).
  • Utilizing remote sensing for water quality assessment (e.g., turbidity, algal blooms).
  • Implementing remote sensing for monitoring air pollution and atmospheric aerosols.
  • Analyzing the use of thermal remote sensing for surface temperature monitoring.
  • Understanding the role of radar and LiDAR.

Module 7: Spatial Data Analysis and Modeling in GIS

  • Implementing spatial analysis techniques (overlay analysis, buffer analysis, network analysis).
  • Utilizing spatial interpolation and surface modeling.
  • Implementing spatial statistics and geostatistics.
  • Analyzing spatial patterns and relationships.
  • Understanding spatial autocorrelation.

Module 8: GIS for Environmental Modeling and Analysis

  • Implementing GIS for environmental modeling (e.g., hydrological modeling, habitat modeling).
  • Utilizing GIS for environmental impact assessment.
  • Implementing GIS for environmental risk assessment and vulnerability analysis.
  • Analyzing the role of GIS in environmental decision support systems.
  • Understanding the role of agent based models.

Module 9: Data Collection and Management with GIS and Remote Sensing

  • Implementing strategies for integrating GIS and remote sensing data.
  • Utilizing GPS and mobile GIS for field data collection.
  • Implementing database management systems for geospatial data.
  • Analyzing the role of metadata and data documentation.
  • Understanding cloud based GIS.

Module 10: Thematic Map Creation and Spatial Reporting

  • Implementing cartographic principles for thematic map creation.
  • Utilizing GIS software for map layout and design.
  • Implementing strategies for creating spatial reports and presentations.
  • Analyzing the role of data visualization in environmental communication.
  • Understanding the importance of map projections and scale.

Module 11: GIS and Remote Sensing for Environmental Impact Assessment (EIA)

  • Implementing GIS and remote sensing for baseline data collection in EIA.
  • Utilizing geospatial analysis for impact prediction and assessment.
  • Implementing GIS for monitoring mitigation measures and environmental management plans.
  • Analyzing the role of spatial data in stakeholder engagement.
  • Understanding the importance of cumulative impact assessment.

Module 12: Accuracy Assessment and Validation of Geospatial Data

  • Implementing methodologies for accuracy assessment of remote sensing classifications.
  • Utilizing error matrices and statistical techniques.
  • Analyzing the role of ground truth data in validation.
  • Understanding the importance of uncertainty analysis.
  • Understanding the concept of error propagation.

Module 13: Integrating GIS and Remote Sensing with Other Environmental Data

  • Implementing strategies for integrating geospatial data with other environmental datasets (e.g., climate data, water quality data).
  • Utilizing data fusion and data mining techniques.
  • Analyzing the role of data interoperability and standards.
  • Understanding the importance of data integration platforms.
  • Understanding the importance of data sharing.

Module 14: Case Studies and Best Practices in Environmental Monitoring

  • Analyzing real-world case studies of GIS and remote sensing applications in environmental monitoring.
  • Learning from best practices across different environmental domains.
  • Identifying key lessons learned and challenges in implementation.
  • Discussing the role of innovation and collaboration.
  • Sharing knowledge and experience.

Module 15: Future Trends and Action Planning for Geospatial Environmental Analysis

  • Exploring emerging trends and opportunities in GIS and remote sensing (AI, cloud computing, big data).
  • Developing action plans for advancing geospatial environmental analysis within organizations and communities.
  • Analyzing the role of individual and collective action.
  • Understanding the importance of long-term commitment.
  • Understanding how to stay up to date on geospatial information.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 5 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply
07/04/2025 - 18/04/2025 $3000 Nairobi
14/04/2025 - 25/04/2025 $3500 Mombasa
14/04/2025 - 25/04/2025 $3000 Nairobi
05/05/2025 - 16/05/2025 $3000 Nairobi
12/05/2025 - 23/05/2025 $5500 Dubai
19/05/2025 - 30/05/2025 $3000 Nairobi
02/06/2025 - 13/06/2025 $3000 Nairobi
09/06/2025 - 20/06/2025 $3500 Mombasa
16/06/2025 - 27/06/2025 $3000 Nairobi
07/07/2025 - 18/07/2025 $3000 Nairobi
14/07/2025 - 25/07/2025 $5500 Johannesburg
14/07/2025 - 25/07/2025 $3000 Nairobi
04/08/2025 - 15/08/2025 $3000 Nairobi
11/08/2025 - 22/08/2025 $3500 Mombasa
18/08/2025 - 29/08/2025 $3000 Nairobi
01/09/2025 - 12/09/2025 $3000 Nairobi
08/09/2025 - 19/09/2025 $4500 Dar es Salaam
15/09/2025 - 26/09/2025 $3000 Nairobi
06/10/2025 - 17/10/2025 $3000 Nairobi
13/10/2025 - 24/10/2025 $4500 Kigali
20/10/2025 - 31/10/2025 $3000 Nairobi
03/11/2025 - 14/11/2025 $3000 Nairobi
10/11/2025 - 21/11/2025 $3500 Mombasa
17/11/2025 - 28/11/2025 $3000 Mombasa
01/12/2025 - 12/12/2025 $3000 Mombasa
01/12/2025 - 12/12/2025 $3000 Nairobi
08/12/2025 - 19/12/2025 $3000 Nairobi